Power User

Understanding power users

What is a power user?

A power user is someone who interacts with a product frequently and deeply. They don't just use the basic features; they dive into advanced functionalities and often provide valuable feedback. These users stand out from the crowd due to their in-depth knowledge and consistent usage patterns. Unlike average users, power users can navigate your product with ease, pushing its limits and uncovering new ways to use it.

Why are power users important?

Power users play a crucial role in product development. Their detailed feedback helps you identify what works and what doesn't. They often spot issues and areas for improvement before anyone else. This makes them invaluable for refining features and squashing bugs.

Moreover, power users act as advocates. They promote your product within their networks, helping to attract new users. Their enthusiasm can drive word-of-mouth marketing, often leading to increased user acquisition and retention.

In short, power users contribute significantly to both the development and growth of your product. By paying attention to their feedback and engagement patterns, you can make more informed decisions that benefit all users.

Examples of power user metrics

  • Content platforms track users reading and interacting with articles daily. Analyzing monthly active users (MAU) can provide deeper insights into user engagement levels.

  • Fitness apps monitor users logging workouts consistently over a month. By tracking these activities, you can better understand weekly active users (WAU) and their engagement patterns.

These metrics offer insights into user behavior and engagement. For instance, primary and secondary metrics can be crucial in evaluating the success of your experiments and understanding user engagement trends.

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OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
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Engineering Manager, ChatGPT
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Brex
Karandeep Anand
President
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Notion
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Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
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SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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